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Achieving near-optimal MIMO capacity in a rank-deficient LOS environmentWalkenhorst, Brett T. January 2009 (has links)
Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2009. / Committee Chair: Ingram, Mary Ann; Committee Member: Durgin, Greg; Committee Member: Kenney, Steve; Committee Member: Landgren, Jack; Committee Member: Li, Ye. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Achieving near-optimal MIMO capacity in a rank-deficient LOS environmentWalkenhorst, Brett T. 29 June 2009 (has links)
In the field of wireless multiple-input multiple-output (MIMO) communications, remarkable capacity enhancements may be achieved in certain environments relative to single-antenna systems. In a non-line of sight (NLOS) environment with rich multipath, the capacity potential is typically very good, but in a line of sight (LOS) environment with a high Rician K-factor, the capacity improvement may be severely limited or almost disappear. The objective of the research described in this dissertation has been to develop a more thorough understanding of the capacity limitations of MIMO in a LOS environment and explore methods to improve that capacity. It is known that for a LOS link with a given range, an optimal antenna configuration, which usually involves large antenna spacings, can be computed to maximize the capacity. A method is here proposed for achieving near-maximum MIMO capacity in LOS environments with suboptimal array configurations. Suboptimal arrays may include small antenna spacings and/or arrays rotated off normal. The method employs single-antenna full-duplex, amplify-and-forward relays, otherwise known as "wireless repeaters." We have designated this concept repeater-assisted capacity enhancement (RACE) for MIMO. Potential applications include tower-mounted or building-top cellular backhaul and high-speed wireless bridge links (explored in Chapter 5) and ground-to-air sensor network backhaul links and base-to-mobile links in a cellular configuration (explored in Chapter 7).
We have analyzed this concept in simulation for point-to-point and point-to-multipoint links and have found the following critical parameters for system design and deployment: orientation, antenna spacing, and antenna patterns of the transmit (TX)/receive (RX) MIMO arrays; and position, noise figure, TX/RX isolation, and antenna patterns associated with the repeater(s). Simulation results for an n[subscript R] xn[subscript T] MIMO link demonstrate nearly a factor of n=min{n[subscript R], n[subscript T] } improvement in capacity relative to a single-input single-output (SISO) link using n-1 optimally placed wireless repeaters supporting the link.
Other portions of analysis presented include the development of a determinant-based metric for capacity (D) and an exploration of upper and lower bounds of capacity as a function of D. The position of repeaters is analyzed theoretically and a metric introduced based on D intended to quickly and intuitively determine optimal positions for repeaters assisting a given MIMO link based on TX/RX node steering vectors.
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